MEP

(redirected from Maximum entropy principle)
AcronymDefinition
MEPMechanical, Electrical, Plumbing (architectural)
MEPManufacturing Extension Partnership (NIST)
MEPMember of the European Parliament
MEPMechanical, Electrical and Plumbing (engineering services)
MEPMinisterio de Educacion Publica (Spanish: Ministry of Public Education)
MEPMigrant Education Program
MEPMinistry of Environment Protection (various locations)
MEPMessage Exchange Pattern
MEPMonitoring and Evaluation Plan (various organizations)
MEPMaximum Extent Practicable
MEPMultiple Employer Plan (retirement savings structure)
MEPMetacarpophalangeal (joints)
MEPMissions Etrangères de Paris (French: Society of Foreign Missions of Paris; France)
MEPMission Essential Personnel (US Air Force)
MEPMinority Engineering Program (college)
MEPMulti-Entertainment Player (various companies)
MEPManagement Engineering Program (US Air Force)
MEPModel European Parliament
MEPMotor Evoked Potential
MEPMobile Electric Power (Generators)
MEPMain Entry Point
MEPMobile Electric Power
MEPMaintenance Enforcement Program
MEPMitsubishi Engineering-Plastics (Japan)
MEPMedia Embedded Processor
MEPMedical Education Partnership (Schofield Media Europe Ltd.)
MEPMars Exploration Program
MEPMaximum Extent Possible
MEPMarine Environmental Protection
MEPMidwest Airlines (ICAO code)
MEPMean Effective Pressure
MEPMaximum Expiratory Pressure
MEPMission Equipment Package
MEPMaximum Entropy Principle
MEPMolecular Electrostatic Potential
MEPMajor Excreted Protein
MEPMultiple Extraction Procedure
MEPMarket Energy Price
MEPMain Export Pipeline
MEPMedical Evaluation Program (various locations)
MEPMarine Expeditionary Force
MEPMaster Exercise Practitioner
MEPMovimiento Electoral di Pueblo
MEPMaximum Extent Practical
MEPMinimum Entry Point (US NASA)
MEPManagement Education Program
MEPMegakaryocyte-Erythroid Progenitor
MEPMovimento Evangélico Progressista (Portuguese: Progressive Evangelical Movement; Brazil)
MEPMotor End Plate (neuromuscular junction)
MEPMonitoring, Execution, Planning
MEPMaster of Environmental Planning (Arizona State University degree)
MEPMetagenics Educational Programs
MEPMicro Enterprise Program (various locations)
MEPMedium-Energy Physics
MEPMargin Enhancement Program (procurement)
MEPMunicipal Emergency Plan
MEPMulti-Ethnic Police
MEPModified Epley Procedure (posterior canal benign paroxysmal positional vertigo treatment)
MEPManitoba Egg Producers (Winnipeg, MB, Canada)
MEPMaster Evaluation Plan
MEPMinister of Energy and Petroleum (Venezuela)
MEPMusic Elective Program (Singapore)
MEPManagement Engineering Plan
MEPMobile Equipment Personalization
MEPMinimum Earned Premium (insurance)
MEPMicro-Electric Propulsion
MEPMulti-Element Phase-toggle
MEPMinimum Engagement Package (US Army)
MEPMultimodality Evoked Potential
MEPMultiple Editor Project (videos)
MEPMilitary Equipment Park
MEPMission Execution Plan
MEPMaster Entry Plan
MEPMaintenance Enhancement Program
MEPMain European Port
MEPMexican Electronic Processing
MEPMechanical, Electrical and Plant (construction)
MEPMain Enable Plug
MEPMethod Engineering Program
MEPMid-Continent Environmental Project Pte Ltd (Singapore)
MEPMinimum Entropy Probability (mathematics/statistics)
MEPMethods Engineering Program
MEPMature Equivalent of Protein
MEPModule Error Permeability
MEPMajor Electronics Procurement
MEPMedia and Editorial Productions
MEPMobile Elevated Platform
References in periodicals archive ?
According to the maximum entropy principle in information theory, in all the feasible solutions, it is necessary to solve a problem; namely, the probability density function that maximizes the information entropy is the most unbiased estimation of the information source in the running state of the manufacturing system.
Equation (18) obtained by the maximum entropy principle can accurately characterize the probability density function f(x) of the running state of the manufacturing system.
Then the probability density function of the running state of the manufacturing system can be obtained using the maximum entropy principle based on the inspection data sequence [X.
According to the grey bootstrap method and the maximum entropy principle and Poisson process, namely, (28)-(32), the inspection data subsequence [X.
GB], the probability density function f(x) of the running state of the manufacturing system is obtained using the maximum entropy principle, as shown in Figure 2.
Based on the maximum entropy principle and Poisson process, by counting and calculating, the variation intensity X of the running state of the manufacturing system is obtained by counting process, as shown in Table 1.
According to the grey bootstrap method and the maximum entropy principle, the confidence interval is obtained that [[X.
Therefore, based on the raw intrinsic data sequence X, the value of the variation intensity [lambda] can be obtained according to the grey bootstrap method, the maximum entropy principle, and counting.
GB], the probability density function f(x) of the large sample data is obtained using the maximum entropy principle.
GB], the probability density function f(x) of the small sample data is obtained using the maximum entropy principle.
Jaynes's Maximum Entropy Principle casts the problem of determining the discrete probabilities p into the form of an optimization problem.
The above the process shown how the entropy measure of uncertainty and the Maximum Entropy Principle can be used to infer least biased results using incomplete data.
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